| 2026 | KR | Voting Compilation Revisited. | Yann Chevaleyre, Jrme Lang, Nicolas Maudet |
| 2025 | AISTATS | Memorization in Attention-only Transformers. | Lo Dana, Muni Sreenivas Pydi, Yann Chevaleyre |
| 2025 | AISTATS | Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory. | Lucas Gnecco Heredia, Matteo Sammut, Muni Sreenivas Pydi, Rafael Pinot, Benjamin Ngrevergne, Yann Chevaleyre |
| 2025 | ICML | Improving Diversity in Language Models: When Temperature Fails, Change the Loss. | Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, Benjamin Ngrevergne |
| 2024 | ACL | Exploring Precision and Recall to assess the quality and diversity of LLMs. | Florian Le Bronnec, Alexandre Verine, Benjamin Ngrevergne, Yann Chevaleyre, Alexandre Allauzen |
| 2024 | AISTATS | Optimal Budgeted Rejection Sampling for Generative Models. | Alexandre Verine, Muni Sreenivas Pydi, Benjamin Ngrevergne, Yann Chevaleyre |
| 2023 | AISTATS | Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality. | Ikko Yamane, Yann Chevaleyre, Takashi Ishida, Florian Yger |
| 2022 | ACML | On the expressivity of bi-Lipschitz normalizing flows. | Alexandre Verine, Benjamin Ngrevergne, Yann Chevaleyre, Fabrice Rossi |
| 2022 | IROS | Reactive Stepping for Humanoid Robots using Reinforcement Learning: Application to Standing Push Recovery on the Exoskeleton Atalante. | Alexis Duburcq, Fabian Schramm, Guilhem Boris, Nicolas Bredche, Yann Chevaleyre |
| 2021 | AAAI | On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. | Alexandre Araujo, Benjamin Ngrevergne, Yann Chevaleyre, Jamal Atif |
| 2021 | FOGA | Asymptotic convergence rates for averaging strategies. | Laurent Meunier, Iskander Legheraba, Yann Chevaleyre, Olivier Teytaud |
| 2021 | ICML | Mixed Nash Equilibria in the Adversarial Examples Game. | Laurent Meunier, Meyer Scetbon, Rafael Pinot, Jamal Atif, Yann Chevaleyre |
| 2021 | ICML | Best Arm Identification in Graphical Bilinear Bandits. | Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre |
| 2020 | ACML | Learning Interpretable Models using Soft Integrity Constraints. | Khaled Belahcne, Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker |
| 2020 | ECAI | Understanding and Training Deep Diagonal Circulant Neural Networks. | Alexandre Araujo, Benjamin Ngrevergne, Yann Chevaleyre, Jamal Atif |
| 2020 | ICML | Randomization matters How to defend against strong adversarial attacks. | Rafael Pinot, Raphael Ettedgui, Geovani Rizk, Yann Chevaleyre, Jamal Atif |
| 2020 | ICRA | Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. | Alexis Duburcq, Yann Chevaleyre, Nicolas Bredche, Guilhem Boris |
| 2020 | PPSN | On Averaging the Best Samples in Evolutionary Computation. | Laurent Meunier, Yann Chevaleyre, Jrmy Rapin, Clment W. Royer, Olivier Teytaud |
| 2019 | AISTATS | Interpretable Cascade Classifiers with Abstention. | Matthieu Clertant, Nataliya Sokolovska, Yann Chevaleyre, Blaise Hanczar |
| 2018 | AISTATS | A Provable Algorithm for Learning Interpretable Scoring Systems. | Nataliya Sokolovska, Yann Chevaleyre, Jean-Daniel Zucker |
| 2018 | ECCV | Training Compact Deep Learning Models for Video Classification Using Circulant Matrices. | Alexandre Araujo, Benjamin Ngrevergne, Yann Chevaleyre, Jamal Atif |
| 2018 | IJCAI | Accountable Approval Sorting. | Khaled Belahcne, Yann Chevaleyre, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane |
| 2017 | IJCAI | Voting by sequential elimination with few voters. | Sylvain Bouveret, Yann Chevaleyre, Franois Durand, Jrme Lang |
| 2017 | IJCNN | The fused lasso penalty for learning interpretable medical scoring systems. | Nataliya Sokolovska, Yann Chevaleyre, Karine Clment, Jean-Daniel Zucker |
| 2016 | IJCNN | Advantage based value iteration for Markov decision processes with unknown rewards. | Pegah Alizadeh, Yann Chevaleyre, Franois Lvy |
| 2013 | ICML | Rounding Methods for Discrete Linear Classification. | Yann Chevaleyre, Frdric Koriche, Jean-Daniel Zucker |
| 2012 | ICONIP | Adaptive Probabilistic Policy Reuse. | Yann Chevaleyre, Aydano Machado Pamponet |
| 2012 | WETICE | Optimizing the Placement of Evacuation Signs on Road Network with Time and Casualties in Case of a Tsunami. | Thi Anh Ngoc Nguyen, Yann Chevaleyre, Jean-Daniel Zucker |
| 2011 | TARK | Compilation and communication protocols for voting rules with a dynamic set of candidates. | Yann Chevaleyre, Jrme Lang, Nicolas Maudet, Jrme Monnot |
| 2010 | AAAI | Possible Winners when New Candidates Are Added: The Case of Scoring Rules. | Yann Chevaleyre, Jrme Lang, Nicolas Maudet, Jrme Monnot |
| 2010 | ECAI | Learning conditionally lexicographic preference relations. | Richard Booth, Yann Chevaleyre, Jrme Lang, Jrme Mengin, Chattrakul Sombattheera |
| 2009 | IJCAI | Compiling the Votes of a Subelectorate. | Yann Chevaleyre, Jrme Lang, Nicolas Maudet, Guillaume Ravilly-Abadie |
| 2008 | PKAW | Experiments with Adaptive Transfer Rate in Reinforcement Learning. | Yann Chevaleyre, Aydano Machado, Jean-Daniel Zucker |
| 2007 | AAAI | Allocating Goods on a Graph to Eliminate Envy. | Yann Chevaleyre, Ulrich Endriss, Nicolas Maudet |
| 2007 | IJCAI | Reaching Envy-Free States in Distributed Negotiation Settings. | Yann Chevaleyre, Ulle Endriss, Sylvia Estivie, Nicolas Maudet |
| 2007 | SOFSEM | A Short Introduction to Computational Social Choice. | Yann Chevaleyre, Ulle Endriss, Jrme Lang, Nicolas Maudet |
| 2006 | KR | Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modeling. | Yann Chevaleyre, Ulle Endriss, Jrme Lang |
| 2005 | IJCAI | On Maximal Classes of Utility Functions for Efficient one-to-one Negotiation. | Yann Chevaleyre, Ulle Endriss, Nicolas Maudet |
| 2002 | ICPR | Wrapper for Object Detection in an Autonomous Mobile Robot. | Nicolas Bredche, Yann Chevaleyre, Louis Hugues |
| 2002 | PRICAI | A Wrapper-Based Approach to Robot Learning Concepts from Images. | Nicolas Bredche, Jean-Daniel Zucker, Yann Chevaleyre |
| 2001 | AI | Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. | Yann Chevaleyre, Jean-Daniel Zucker |